
Building Intelligent Systems
6 days ago
At a leading global transportation firm, we're transforming the industry through innovative solutions. Our culture is built on collaboration, continuous learning, and ownership.
Job DescriptionWe seek an experienced Machine Learning Engineer to develop and implement cutting-edge models using Python, SQL, and relevant tools. This role involves collaborating with cross-functional teams to identify opportunities for applying machine learning techniques to business challenges.
- Conduct research and experimentation to explore new approaches and technologies.
- Optimize existing models for improved performance and efficiency.
The ideal candidate has a strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, and statistical modeling. Key qualifications include:
- In-depth knowledge of reinforcement learning algorithms (e.g., DQN, PPO, Actor-Critic) with hands-on experience.
- Proven expertise in time series forecasting methods (e.g., ARIMA, LSTM, Prophet) and their practical application.
- Proficiency in Python, SQL, and other relevant programming languages.
- Ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders.
- Bachelor's or master's degree in computer science, mathematics, statistics, or related field with a minimum of 5 years of experience.
Desirable skills include experience building and operating large-scale distributed systems, familiarity with cloud computing platforms, and basic understanding of the machine learning project lifecycle.
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